Coconut water : a sports drink alternative?
- O’Brien, Brendan, Bell, Leo, Hennessy, Declan, Denham, Joshua, Paton, Carl
- Authors: O’Brien, Brendan , Bell, Leo , Hennessy, Declan , Denham, Joshua , Paton, Carl
- Date: 2023
- Type: Text , Journal article
- Relation: Sports Vol. 11, no. 9 (2023), p.
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- Description: Coconut water is used as an alternative to conventional sports drinks for hydration during endurance cycling; however, evidence supporting its use is limited. This study determined if drinking coconut water compared to a sports drink altered cycling performance and physiology. In a randomized crossover trial, 19 experienced male (n = 15) and female (n = 4) cyclists (age 30 ± 9 years, body mass 79 ± 11 kg, (Formula presented.) O2 peak 55 ± 8 mL·kg
- Authors: O’Brien, Brendan , Bell, Leo , Hennessy, Declan , Denham, Joshua , Paton, Carl
- Date: 2023
- Type: Text , Journal article
- Relation: Sports Vol. 11, no. 9 (2023), p.
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- Description: Coconut water is used as an alternative to conventional sports drinks for hydration during endurance cycling; however, evidence supporting its use is limited. This study determined if drinking coconut water compared to a sports drink altered cycling performance and physiology. In a randomized crossover trial, 19 experienced male (n = 15) and female (n = 4) cyclists (age 30 ± 9 years, body mass 79 ± 11 kg, (Formula presented.) O2 peak 55 ± 8 mL·kg
Cognitive behavioral therapy-based treatments for insomnia and nightmares in adults with trauma symptoms : a systematic review
- Isaac, Fadia, Toukhsati, Samia, DiBenedetto, Mirella, Kennedy, Gerard
- Authors: Isaac, Fadia , Toukhsati, Samia , DiBenedetto, Mirella , Kennedy, Gerard
- Date: 2023
- Type: Text , Journal article
- Relation: Current Psychology Vol. 42, no. 27 (2023), p. 23495-23505
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- Authors: Isaac, Fadia , Toukhsati, Samia , DiBenedetto, Mirella , Kennedy, Gerard
- Date: 2023
- Type: Text , Journal article
- Relation: Current Psychology Vol. 42, no. 27 (2023), p. 23495-23505
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Comparative analysis of machine and deep learning models for soil properties prediction from hyperspectral visual band
- Datta, Dristi, Paul, Manoranjan, Murshed, Manzur, Teng, Shyh Wei, Schmidtke, Leigh
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2023
- Type: Text , Journal article
- Relation: Environments Vol. 10, no. 5 (2023), p. 77
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- Description: Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food production. However, conventional methods such as oven-drying and chemical analysis are laborious, expensive, and only feasible for a limited land area. With the advent of remote sensing technologies like multi/hyperspectral imaging, it is now possible to predict soil properties non-invasive and cost-effectively for a large expanse of bare land. Recent research shows the possibility of predicting those soil contents from a wide range of hyperspectral data using good prediction algorithms. However, these kinds of hyperspectral sensors are expensive and not widely available. Therefore, this paper investigates different machine and deep learning techniques to predict soil nutrient properties using only the red (R), green (G), and blue (B) bands data to propose a suitable machine/deep learning model that can be used as a rapid soil test. Another objective of this research is to observe and compare the prediction accuracy in three cases i. hyperspectral band ii. full spectrum of the visual band, and iii. three-channel of RGB band and provide a guideline to the user on which spectrum information they should use to predict those soil properties. The outcome of this research helps to develop a mobile application that is easy to use for a quick soil test. This research also explores learning-based algorithms with significant feature combinations and their performance comparisons in predicting soil properties from visual band data. For this, we also explore the impact of dimensional reduction (i.e., principal component analysis) and transformations (i.e., empirical mode decomposition) of features. The results show that the proposed model can comparably predict the soil contents from the three-channel RGB data.
- Authors: Datta, Dristi , Paul, Manoranjan , Murshed, Manzur , Teng, Shyh Wei , Schmidtke, Leigh
- Date: 2023
- Type: Text , Journal article
- Relation: Environments Vol. 10, no. 5 (2023), p. 77
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- Description: Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food production. However, conventional methods such as oven-drying and chemical analysis are laborious, expensive, and only feasible for a limited land area. With the advent of remote sensing technologies like multi/hyperspectral imaging, it is now possible to predict soil properties non-invasive and cost-effectively for a large expanse of bare land. Recent research shows the possibility of predicting those soil contents from a wide range of hyperspectral data using good prediction algorithms. However, these kinds of hyperspectral sensors are expensive and not widely available. Therefore, this paper investigates different machine and deep learning techniques to predict soil nutrient properties using only the red (R), green (G), and blue (B) bands data to propose a suitable machine/deep learning model that can be used as a rapid soil test. Another objective of this research is to observe and compare the prediction accuracy in three cases i. hyperspectral band ii. full spectrum of the visual band, and iii. three-channel of RGB band and provide a guideline to the user on which spectrum information they should use to predict those soil properties. The outcome of this research helps to develop a mobile application that is easy to use for a quick soil test. This research also explores learning-based algorithms with significant feature combinations and their performance comparisons in predicting soil properties from visual band data. For this, we also explore the impact of dimensional reduction (i.e., principal component analysis) and transformations (i.e., empirical mode decomposition) of features. The results show that the proposed model can comparably predict the soil contents from the three-channel RGB data.
Comparative evaluation of empirical approaches and artificial intelligence techniques for predicting uniaxial compressive strength of rock
- Li, Chuanqi, Zhou, Jian, Dias, Daniel, Du, Kun, Khandelwal, Manoj
- Authors: Li, Chuanqi , Zhou, Jian , Dias, Daniel , Du, Kun , Khandelwal, Manoj
- Date: 2023
- Type: Text , Journal article
- Relation: Geosciences (Switzerland) Vol. 13, no. 10 (2023), p.
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- Description: The uniaxial compressive strength (UCS) of rocks is one of the key parameters for evaluating the safety and stability of civil and mining structures. In this study, 386 rock samples containing four properties named the load strength (PLS), the porosity (Pn), the P-wave velocity (Vp), and the Schmidt hardness rebound number (SHR) are utilized to predict the UCS using several typical empirical equations (EA) and artificial intelligence (AI) methods, i.e., 16 single regression (SR) equations, 2 multiple regression (MR) equations, and the random forest (RF) models optimized by grey wolf optimization (GWO), moth flame optimization (MFO), lion swarm optimization (LSO), and sparrow search algorithm (SSA). The root mean square error (RMSE), determination coefficient (R2), Willmott’s index (WI), and variance accounted for (VAF) are used to evaluate the predictive performance of all developed models. The evaluation results show that the overall performance of AI models is superior to empirical approaches, especially the LSO-RF model. In addition, the most important input variable is the Pn for predicting the UCS. Therefore, AI techniques are considered as more efficient and accurate approaches to replace the empirical equations for predicting the UCS of these collected rock samples, which provides a reliable and effective idea to predict the rock UCS in the filed site. © 2023 by the authors.
- Authors: Li, Chuanqi , Zhou, Jian , Dias, Daniel , Du, Kun , Khandelwal, Manoj
- Date: 2023
- Type: Text , Journal article
- Relation: Geosciences (Switzerland) Vol. 13, no. 10 (2023), p.
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- Description: The uniaxial compressive strength (UCS) of rocks is one of the key parameters for evaluating the safety and stability of civil and mining structures. In this study, 386 rock samples containing four properties named the load strength (PLS), the porosity (Pn), the P-wave velocity (Vp), and the Schmidt hardness rebound number (SHR) are utilized to predict the UCS using several typical empirical equations (EA) and artificial intelligence (AI) methods, i.e., 16 single regression (SR) equations, 2 multiple regression (MR) equations, and the random forest (RF) models optimized by grey wolf optimization (GWO), moth flame optimization (MFO), lion swarm optimization (LSO), and sparrow search algorithm (SSA). The root mean square error (RMSE), determination coefficient (R2), Willmott’s index (WI), and variance accounted for (VAF) are used to evaluate the predictive performance of all developed models. The evaluation results show that the overall performance of AI models is superior to empirical approaches, especially the LSO-RF model. In addition, the most important input variable is the Pn for predicting the UCS. Therefore, AI techniques are considered as more efficient and accurate approaches to replace the empirical equations for predicting the UCS of these collected rock samples, which provides a reliable and effective idea to predict the rock UCS in the filed site. © 2023 by the authors.
Compliance with the zero suicide initiative by mental health clinicians at a regional mental health service : development and testing of a clinical audit tool
- Porter, Joanne, Dabkowski, Elissa, Connolly, Owen, Prokopiv, Valerie
- Authors: Porter, Joanne , Dabkowski, Elissa , Connolly, Owen , Prokopiv, Valerie
- Date: 2023
- Type: Text , Journal article
- Relation: Nursing Reports Vol. 13, no. 1 (2023), p. 29-42
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- Description: Aim: The aim of this study is to investigate the compliance of mental health clinicians in applying the Zero Suicide (ZS) approach to their clinical practice in a rural and regional health community setting. Methods: A retrospective clinical audit of six mental health teams was undertaken at a single site. A clinical audit tool was developed and validated using a six-step approach. The data was extracted and analysed via descriptive and inferential statistics and compared to a specialised mental health team, experienced with the ZS approach. Results: A total of 334 clinical records were extracted for January, April, August, November 2019 and June 2020. The clinical audit and analysis confirmed that the mental health teams are not consistently using the assessments from their training and are therefore not implementing all of these elements into their practice. This could have implications for the risk formulation and treatment for people at risk of suicide. Conclusions: The use of a validated clinical audit tool can be beneficial to establish compliance with the mental health clinicians and to determine any areas requiring further improvement. Further education and reinforcement may be required to ensure consistency with incorporating the elements of ZS into everyday clinical practice. © 2022 by the authors.
- Authors: Porter, Joanne , Dabkowski, Elissa , Connolly, Owen , Prokopiv, Valerie
- Date: 2023
- Type: Text , Journal article
- Relation: Nursing Reports Vol. 13, no. 1 (2023), p. 29-42
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- Description: Aim: The aim of this study is to investigate the compliance of mental health clinicians in applying the Zero Suicide (ZS) approach to their clinical practice in a rural and regional health community setting. Methods: A retrospective clinical audit of six mental health teams was undertaken at a single site. A clinical audit tool was developed and validated using a six-step approach. The data was extracted and analysed via descriptive and inferential statistics and compared to a specialised mental health team, experienced with the ZS approach. Results: A total of 334 clinical records were extracted for January, April, August, November 2019 and June 2020. The clinical audit and analysis confirmed that the mental health teams are not consistently using the assessments from their training and are therefore not implementing all of these elements into their practice. This could have implications for the risk formulation and treatment for people at risk of suicide. Conclusions: The use of a validated clinical audit tool can be beneficial to establish compliance with the mental health clinicians and to determine any areas requiring further improvement. Further education and reinforcement may be required to ensure consistency with incorporating the elements of ZS into everyday clinical practice. © 2022 by the authors.
Compulsive exercise and its relationship with mental health and psychosocial wellbeing in recreational exercisers and athletes
- Cosh, Suzanne, McNeil, Dominic, Tully, Phillip
- Authors: Cosh, Suzanne , McNeil, Dominic , Tully, Phillip
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Science and Medicine in Sport Vol. 26, no. 7 (2023), p. 338-344
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- Description: Objectives: Better understanding of compulsive exercise is needed in sports medicine. Whilst compulsive exercise may impact mental health, the limited research exploring the relationship between compulsive exercise and psychosocial outcomes is equivocal. The majority of studies have examined eating disorder populations where the eating disorder pathology might account for distress. This study explores relationships between compulsive exercise and mental health. Design: Cross-sectional observational study. Methods: Australian recreational exercisers and athletes (N = 1157; Mage 36.4, standard deviation = 12.9, 77 % female) recruited through sporting organisations, clubs, and gyms, completed measures of compulsive exercise, depression, anxiety, stress, life satisfaction, social physique anxiety, and self-esteem. Regression analyses examined relationships between dimensions of compulsive exercise and wellbeing. Results: After adjustment for eating disorder symptoms and sporting level, compulsive exercise was associated with increased risk of clinically-significant anxiety, depression, and stress symptoms. Compulsive exercise was also associated with lower life satisfaction and self-esteem, and higher social physique anxiety. Notably, different dimensions of compulsive exercise had varying relationships with outcomes, and avoidance and rule-driven behaviour and lack of exercise enjoyment were associated with poorer mental health and wellbeing. Conclusions: Results suggest that compulsive exercise is uniquely associated with a range of psychosocial and mental health outcomes. Results support the need to improve identification and treatment of compulsive exercise in sport and exercise settings. Results highlight that mental health intervention is an important component of treatment, and treatments targeting symptoms related to avoidance and rule-driven behaviour, and anhedonia may be valuable treatment components for those with compulsive exercise. © 2023 The Author(s)
- Authors: Cosh, Suzanne , McNeil, Dominic , Tully, Phillip
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Science and Medicine in Sport Vol. 26, no. 7 (2023), p. 338-344
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- Description: Objectives: Better understanding of compulsive exercise is needed in sports medicine. Whilst compulsive exercise may impact mental health, the limited research exploring the relationship between compulsive exercise and psychosocial outcomes is equivocal. The majority of studies have examined eating disorder populations where the eating disorder pathology might account for distress. This study explores relationships between compulsive exercise and mental health. Design: Cross-sectional observational study. Methods: Australian recreational exercisers and athletes (N = 1157; Mage 36.4, standard deviation = 12.9, 77 % female) recruited through sporting organisations, clubs, and gyms, completed measures of compulsive exercise, depression, anxiety, stress, life satisfaction, social physique anxiety, and self-esteem. Regression analyses examined relationships between dimensions of compulsive exercise and wellbeing. Results: After adjustment for eating disorder symptoms and sporting level, compulsive exercise was associated with increased risk of clinically-significant anxiety, depression, and stress symptoms. Compulsive exercise was also associated with lower life satisfaction and self-esteem, and higher social physique anxiety. Notably, different dimensions of compulsive exercise had varying relationships with outcomes, and avoidance and rule-driven behaviour and lack of exercise enjoyment were associated with poorer mental health and wellbeing. Conclusions: Results suggest that compulsive exercise is uniquely associated with a range of psychosocial and mental health outcomes. Results support the need to improve identification and treatment of compulsive exercise in sport and exercise settings. Results highlight that mental health intervention is an important component of treatment, and treatments targeting symptoms related to avoidance and rule-driven behaviour, and anhedonia may be valuable treatment components for those with compulsive exercise. © 2023 The Author(s)
Concussion assessment and management — what do community-level cricket participants know?
- Kodikara, Dulan, Plumb, Mandy, Twomey, Dara
- Authors: Kodikara, Dulan , Plumb, Mandy , Twomey, Dara
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Science and Medicine in Sport Vol. 26, no. 9 (2023), p. 448-453
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- Description: Objectives: To explore Australian cricket participants' knowledge of concussion assessment and management, and awareness of current concussion guidelines. Design: Cross-sectional survey. Methods: Novel and validated surveys were disseminated online, among over 16 year Australian cricket players and officials at the end of the 2018/19 cricket season. Data were collected on knowledge and awareness of concussion and analysed using descriptive statistics and crosstabulations. Further comparisons were made for the players between injured and non-injured, and helmet wearers and non-helmet wearers using Fisher's exact statistical test. Results: Both players (n = 224, 93 %) and officials (n = 36, 100 %) demonstrated strong knowledge of the importance of immediately evaluating suspected concussions. In comparison with players without helmets (n = 11), those using helmets (n = 135) considered replacing their helmets after a concussion to be vital to concussion assessment (p = 0.02). Overall, 80–97 % of players and 81–97 % of officials understood the importance of many factors regarding concussion management. When concussion management knowledge was compared by injury status, injured players (n = 17, 94 %) believed someone with a concussion should be hospitalised immediately, in contrast to non-injured players (n = 154, 69 %) (p = 0.04). Players (63 %) were less aware of concussion guidelines than officials (81 %). Conclusions: Overall, the knowledge of concussion assessment and management was satisfactory. However, there were discrepancies among players on some aspects of awareness of concussion guidelines. Increasing players' familiarity and experience in using the concussion guidelines is warranted. Targeted campaigns are needed to further improve concussion recognition and treatment at community-level cricket, so all participants play a role in making cricket a safe sport. © 2023
- Authors: Kodikara, Dulan , Plumb, Mandy , Twomey, Dara
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Science and Medicine in Sport Vol. 26, no. 9 (2023), p. 448-453
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- Description: Objectives: To explore Australian cricket participants' knowledge of concussion assessment and management, and awareness of current concussion guidelines. Design: Cross-sectional survey. Methods: Novel and validated surveys were disseminated online, among over 16 year Australian cricket players and officials at the end of the 2018/19 cricket season. Data were collected on knowledge and awareness of concussion and analysed using descriptive statistics and crosstabulations. Further comparisons were made for the players between injured and non-injured, and helmet wearers and non-helmet wearers using Fisher's exact statistical test. Results: Both players (n = 224, 93 %) and officials (n = 36, 100 %) demonstrated strong knowledge of the importance of immediately evaluating suspected concussions. In comparison with players without helmets (n = 11), those using helmets (n = 135) considered replacing their helmets after a concussion to be vital to concussion assessment (p = 0.02). Overall, 80–97 % of players and 81–97 % of officials understood the importance of many factors regarding concussion management. When concussion management knowledge was compared by injury status, injured players (n = 17, 94 %) believed someone with a concussion should be hospitalised immediately, in contrast to non-injured players (n = 154, 69 %) (p = 0.04). Players (63 %) were less aware of concussion guidelines than officials (81 %). Conclusions: Overall, the knowledge of concussion assessment and management was satisfactory. However, there were discrepancies among players on some aspects of awareness of concussion guidelines. Increasing players' familiarity and experience in using the concussion guidelines is warranted. Targeted campaigns are needed to further improve concussion recognition and treatment at community-level cricket, so all participants play a role in making cricket a safe sport. © 2023
Considering the need for movement variability in motor imagery training : implications for sport and rehabilitation
- Lindsay, Riki, Spittle, Sharna, Spittle, Michael
- Authors: Lindsay, Riki , Spittle, Sharna , Spittle, Michael
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Psychology Vol. 14, no. (2023), p.
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- Authors: Lindsay, Riki , Spittle, Sharna , Spittle, Michael
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Psychology Vol. 14, no. (2023), p.
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Construction of generalized shape functions over arbitrary polytopes based on scaled boundary finite element method's solution of Poisson's equation
- Xiao, B., Natarajan, Sundararajan, Birk, Carolin, Ooi, Ean Hin, Song, Chongmin, Ooi, Ean Tat
- Authors: Xiao, B. , Natarajan, Sundararajan , Birk, Carolin , Ooi, Ean Hin , Song, Chongmin , Ooi, Ean Tat
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal for Numerical Methods in Engineering Vol. 124, no. 17 (2023), p. 3603-3636
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- Description: A general technique to develop arbitrary-sided polygonal elements based on the scaled boundary finite element method is presented. Shape functions are derived from the solution of the Poisson's equation in contrast to the well-known Laplace shape functions that are only linearly complete. The application of the Poisson shape functions can be complete up to any specific order. The shape functions retain the advantage of the scaled boundary finite element method allowing direct formulation on polygons with arbitrary number of sides and quadtree meshes. The resulting formulation is similar to the finite element method where each field variable is interpolated by the same set of shape functions in parametric space and differs only in the integration of the stiffness and mass matrices. Well-established finite element procedures can be applied with the developed shape functions, to solve a variety of engineering problems including, for example, coupled field problems, phase field fracture, and addressing volumetric locking in the near-incompressibility limit by adopting a mixed formulation. Application of the formulation is demonstrated in several engineering problems. Optimal convergence rates are observed. © 2023 The Authors. International Journal for Numerical Methods in Engineering published by John Wiley & Sons Ltd.
- Authors: Xiao, B. , Natarajan, Sundararajan , Birk, Carolin , Ooi, Ean Hin , Song, Chongmin , Ooi, Ean Tat
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal for Numerical Methods in Engineering Vol. 124, no. 17 (2023), p. 3603-3636
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- Description: A general technique to develop arbitrary-sided polygonal elements based on the scaled boundary finite element method is presented. Shape functions are derived from the solution of the Poisson's equation in contrast to the well-known Laplace shape functions that are only linearly complete. The application of the Poisson shape functions can be complete up to any specific order. The shape functions retain the advantage of the scaled boundary finite element method allowing direct formulation on polygons with arbitrary number of sides and quadtree meshes. The resulting formulation is similar to the finite element method where each field variable is interpolated by the same set of shape functions in parametric space and differs only in the integration of the stiffness and mass matrices. Well-established finite element procedures can be applied with the developed shape functions, to solve a variety of engineering problems including, for example, coupled field problems, phase field fracture, and addressing volumetric locking in the near-incompressibility limit by adopting a mixed formulation. Application of the formulation is demonstrated in several engineering problems. Optimal convergence rates are observed. © 2023 The Authors. International Journal for Numerical Methods in Engineering published by John Wiley & Sons Ltd.
Converting optimum compaction properties of fine-grained soils between rational energy levels
- Soltani, Amin, Azimi, Mahdieh, O'Kelly, Brendan, Horpibulsuk, Suksun
- Authors: Soltani, Amin , Azimi, Mahdieh , O'Kelly, Brendan , Horpibulsuk, Suksun
- Date: 2023
- Type: Text , Journal article
- Relation: Transportation Geotechnics Vol. 42, no. (2023), p.
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- Description: This study introduces a practical energy conversion (EC)-type modeling framework capable of converting the optimum compaction properties of fine-grained soils between any two rational compaction energy levels (CELs). Model development/calibration was carried out using a database of 242 compaction test results — the largest and most diverse database of its kind, to date, entailing 76 fine-grained soils (covering liquid limits of 16–256%), with each soil tested for at least three different CELs. On establishing the framework, an independent database of 91 compaction test results (consisting of 34 fine-grained soils tested for varying CELs) was employed for its validation. The proposed EC-based models employ measured optimum water content (OWC) and maximum dry unit weight (MDUW) values obtained for a rational CEL (preferably standard Proctor) to predict the same for higher and/or lower compactive efforts (covering 214–5416 kJ/m3). The 95% lower and upper statistical agreement limits between the predicted/converted and measured OWCs were obtained as
- Authors: Soltani, Amin , Azimi, Mahdieh , O'Kelly, Brendan , Horpibulsuk, Suksun
- Date: 2023
- Type: Text , Journal article
- Relation: Transportation Geotechnics Vol. 42, no. (2023), p.
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- Description: This study introduces a practical energy conversion (EC)-type modeling framework capable of converting the optimum compaction properties of fine-grained soils between any two rational compaction energy levels (CELs). Model development/calibration was carried out using a database of 242 compaction test results — the largest and most diverse database of its kind, to date, entailing 76 fine-grained soils (covering liquid limits of 16–256%), with each soil tested for at least three different CELs. On establishing the framework, an independent database of 91 compaction test results (consisting of 34 fine-grained soils tested for varying CELs) was employed for its validation. The proposed EC-based models employ measured optimum water content (OWC) and maximum dry unit weight (MDUW) values obtained for a rational CEL (preferably standard Proctor) to predict the same for higher and/or lower compactive efforts (covering 214–5416 kJ/m3). The 95% lower and upper statistical agreement limits between the predicted/converted and measured OWCs were obtained as
Corporate social responsibility and performance measurement systems in Iran : a levers of control perspective
- Asiaei, Kaveh, O'Connor, Neale, Moghaddam, Majid, Bontis, Nick, Sidhu, Jasvinder
- Authors: Asiaei, Kaveh , O'Connor, Neale , Moghaddam, Majid , Bontis, Nick , Sidhu, Jasvinder
- Date: 2023
- Type: Text , Journal article
- Relation: Corporate Social Responsibility and Environmental Management Vol. 30, no. 2 (2023), p. 574-588
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- Description: This study draws on Simons' levers of control model to explore how companies rely on the balanced use of diagnostic and interactive performance measurement systems (PMS) to translate corporate social responsibility (CSR) into superior performance. Data were collected based on a survey data set from 98 CFOs of public listed companies in Iran. The theoretical model was tested using partial least squares structural equation modeling (PLS-SEM, SmartPLS 3.0), which enjoys minimum demands concerning normality assumptions and sample size. The findings show that CSR is positively associated with PMS and organizational performance. Moreover, CSR is indirectly related to organizational performance through the mediating effect of PMS. This study extends the previous literature by simultaneously incorporating resource orchestration theory in the management accounting and CSR settings. The findings provide further insights into the issue of how adopting proper management control mechanisms (e.g., balanced use of PMS) can support organizations in orchestrating the social, environmental, and economic impacts more effectively. © 2022 The Authors. Corporate Social Responsibility and Environmental Management published by ERP Environment and John Wiley & Sons Ltd.
- Authors: Asiaei, Kaveh , O'Connor, Neale , Moghaddam, Majid , Bontis, Nick , Sidhu, Jasvinder
- Date: 2023
- Type: Text , Journal article
- Relation: Corporate Social Responsibility and Environmental Management Vol. 30, no. 2 (2023), p. 574-588
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- Description: This study draws on Simons' levers of control model to explore how companies rely on the balanced use of diagnostic and interactive performance measurement systems (PMS) to translate corporate social responsibility (CSR) into superior performance. Data were collected based on a survey data set from 98 CFOs of public listed companies in Iran. The theoretical model was tested using partial least squares structural equation modeling (PLS-SEM, SmartPLS 3.0), which enjoys minimum demands concerning normality assumptions and sample size. The findings show that CSR is positively associated with PMS and organizational performance. Moreover, CSR is indirectly related to organizational performance through the mediating effect of PMS. This study extends the previous literature by simultaneously incorporating resource orchestration theory in the management accounting and CSR settings. The findings provide further insights into the issue of how adopting proper management control mechanisms (e.g., balanced use of PMS) can support organizations in orchestrating the social, environmental, and economic impacts more effectively. © 2022 The Authors. Corporate Social Responsibility and Environmental Management published by ERP Environment and John Wiley & Sons Ltd.
COVID-19 : factors associated with the psychological distress, fear and resilient coping strategies among community members in Saudi Arabia
- Alharbi, Talal, Alqurashi, Alaa, Mahmud, Ilias, Alharbi, Rayan, Islam, Sheikh, Almustanyir, Sami, Maklad, Ahmed, AlSarraj, Ahmad, Mughaiss, Lujain, Al-Tawfiq, Jaffar, Ahmed, Ahmed, Barry, Mazin, Ghozy, Sherief, Alabdan, Lulwah, Alif, Sheikh, Sultana, Farhana, Salehin, Masudus, Banik, Biswajit, Cross, Wendy, Rahman, Muhammad Aziz
- Authors: Alharbi, Talal , Alqurashi, Alaa , Mahmud, Ilias , Alharbi, Rayan , Islam, Sheikh , Almustanyir, Sami , Maklad, Ahmed , AlSarraj, Ahmad , Mughaiss, Lujain , Al-Tawfiq, Jaffar , Ahmed, Ahmed , Barry, Mazin , Ghozy, Sherief , Alabdan, Lulwah , Alif, Sheikh , Sultana, Farhana , Salehin, Masudus , Banik, Biswajit , Cross, Wendy , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: Healthcare (Switzerland) Vol. 11, no. 8 (2023), p.
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- Reviewed:
- Description: (1) Background: COVID-19 caused the worst international public health crisis, accompanied by major global economic downturns and mass-scale job losses, which impacted the psychosocial wellbeing of the worldwide population, including Saudi Arabia. Evidence of the high-risk groups impacted by the pandemic has been non-existent in Saudi Arabia. Therefore, this study examined factors associated with psychosocial distress, fear of COVID-19 and coping strategies among the general population in Saudi Arabia. (2) Methods: A cross-sectional study was conducted in healthcare and community settings in the Saudi Arabia using an anonymous online questionnaire. The Kessler Psychological Distress Scale (K-10), Fear of COVID-19 Scale (FCV-19S) and Brief Resilient Coping Scale (BRCS) were used to assess psychological distress, fear and coping strategies, respectively. Multivariate logistic regressions were used, and an Adjusted Odds Ratio (AOR) with 95% Confidence Intervals (CIs) was reported. (3) Results: Among 803 participants, 70% (n = 556) were females, and the median age was 27 years; 35% (n = 278) were frontline or essential service workers; and 24% (n = 195) reported comorbid conditions including mental health illness. Of the respondents, 175 (21.8%) and 207 (25.8%) reported high and very high psychological distress, respectively. Factors associated with moderate to high levels of psychological distress were: youth, females, non-Saudi nationals, those experiencing a change in employment or a negative financial impact, having comorbidities, and current smoking. A high level of fear was reported by 89 participants (11.1%), and this was associated with being ex-smokers (3.72, 1.14–12.14, 0.029) and changes in employment (3.42, 1.91–6.11, 0.000). A high resilience was reported by 115 participants (14.3%), and 333 participants (41.5%) had medium resilience. Financial impact and contact with known/suspected cases (1.63, 1.12–2.38, 0.011) were associated with low, medium, to high resilient coping. (4) Conclusions: People in Saudi Arabia were at a higher risk of psychosocial distress along with medium-high resilience during the COVID-19 pandemic, warranting urgent attention from healthcare providers and policymakers to provide specific mental health support strategies for their current wellbeing and to avoid a post-pandemic mental health crisis. © 2023 by the authors.
- Authors: Alharbi, Talal , Alqurashi, Alaa , Mahmud, Ilias , Alharbi, Rayan , Islam, Sheikh , Almustanyir, Sami , Maklad, Ahmed , AlSarraj, Ahmad , Mughaiss, Lujain , Al-Tawfiq, Jaffar , Ahmed, Ahmed , Barry, Mazin , Ghozy, Sherief , Alabdan, Lulwah , Alif, Sheikh , Sultana, Farhana , Salehin, Masudus , Banik, Biswajit , Cross, Wendy , Rahman, Muhammad Aziz
- Date: 2023
- Type: Text , Journal article
- Relation: Healthcare (Switzerland) Vol. 11, no. 8 (2023), p.
- Full Text:
- Reviewed:
- Description: (1) Background: COVID-19 caused the worst international public health crisis, accompanied by major global economic downturns and mass-scale job losses, which impacted the psychosocial wellbeing of the worldwide population, including Saudi Arabia. Evidence of the high-risk groups impacted by the pandemic has been non-existent in Saudi Arabia. Therefore, this study examined factors associated with psychosocial distress, fear of COVID-19 and coping strategies among the general population in Saudi Arabia. (2) Methods: A cross-sectional study was conducted in healthcare and community settings in the Saudi Arabia using an anonymous online questionnaire. The Kessler Psychological Distress Scale (K-10), Fear of COVID-19 Scale (FCV-19S) and Brief Resilient Coping Scale (BRCS) were used to assess psychological distress, fear and coping strategies, respectively. Multivariate logistic regressions were used, and an Adjusted Odds Ratio (AOR) with 95% Confidence Intervals (CIs) was reported. (3) Results: Among 803 participants, 70% (n = 556) were females, and the median age was 27 years; 35% (n = 278) were frontline or essential service workers; and 24% (n = 195) reported comorbid conditions including mental health illness. Of the respondents, 175 (21.8%) and 207 (25.8%) reported high and very high psychological distress, respectively. Factors associated with moderate to high levels of psychological distress were: youth, females, non-Saudi nationals, those experiencing a change in employment or a negative financial impact, having comorbidities, and current smoking. A high level of fear was reported by 89 participants (11.1%), and this was associated with being ex-smokers (3.72, 1.14–12.14, 0.029) and changes in employment (3.42, 1.91–6.11, 0.000). A high resilience was reported by 115 participants (14.3%), and 333 participants (41.5%) had medium resilience. Financial impact and contact with known/suspected cases (1.63, 1.12–2.38, 0.011) were associated with low, medium, to high resilient coping. (4) Conclusions: People in Saudi Arabia were at a higher risk of psychosocial distress along with medium-high resilience during the COVID-19 pandemic, warranting urgent attention from healthcare providers and policymakers to provide specific mental health support strategies for their current wellbeing and to avoid a post-pandemic mental health crisis. © 2023 by the authors.
COVID-19 : psychological distress, fear, and coping strategies among community members across the United Arab Emirates
- Al Dweik, Rania, Rahman, Muhammad Aziz, Ahamed, Fathima, Ramada, Heba, Al Sheble, Yousef, ElTaher, Sondos, Cross, Wendy, Elsori, Deena
- Authors: Al Dweik, Rania , Rahman, Muhammad Aziz , Ahamed, Fathima , Ramada, Heba , Al Sheble, Yousef , ElTaher, Sondos , Cross, Wendy , Elsori, Deena
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 3 March (2023), p.
- Full Text:
- Reviewed:
- Description: Background The COVID-19 pandemic impacted the psychosocial well-being of the United Arab Emirates [UAE] population like other communities internationally. Objectives We aimed to identify the factors associated with psychological distress, fear, and coping amongst community members across the UAE. Methods We conducted a cross-sectional online survey across the UAE during November 2020. Adults aged
- Authors: Al Dweik, Rania , Rahman, Muhammad Aziz , Ahamed, Fathima , Ramada, Heba , Al Sheble, Yousef , ElTaher, Sondos , Cross, Wendy , Elsori, Deena
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 3 March (2023), p.
- Full Text:
- Reviewed:
- Description: Background The COVID-19 pandemic impacted the psychosocial well-being of the United Arab Emirates [UAE] population like other communities internationally. Objectives We aimed to identify the factors associated with psychological distress, fear, and coping amongst community members across the UAE. Methods We conducted a cross-sectional online survey across the UAE during November 2020. Adults aged
COVID-19 effects on public finance and SDG priorities in developing countries : comparative evidence from Bangladesh and Sri Lanka
- Colombage, Sisira, Barua, Suborna, Nanayakkara, Madurika, Colombage, Udari
- Authors: Colombage, Sisira , Barua, Suborna , Nanayakkara, Madurika , Colombage, Udari
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Development Research Vol. 35, no. 1 (2023), p. 85-111
- Full Text:
- Reviewed:
- Description: The COVID-19 pandemic, an unprecedented global health crisis, rapidly transferred into a global economic and social crisis. The pandemic has threatened the world’s commitment to achieve Sustainable Development Goals (SDGs) by 2030 as governments in developing countries have shifted their priorities from attaining SDGs, to providing urgent financial needs to save lives and prevent recession in hopes for a rapid economic recovery. The rerouting of public funding priorities has undermined the progress and achievement of SDGs. We employed a mixed-method and carried out a comparative study using pre- and post-public financial data of two developing countries in South Asia; Bangladesh and Sri Lanka. A threefold analysis was conducted to investigate the evolution of the COVID-19 pandemic in two countries, the impact of the pandemic on external and internal public finance and the effect of the pandemic in shifting the policy priorities from SDGs to economic survival. This study found that both countries are highly vulnerable to the COVID-19 pandemic and are suffering from the lack of financing from external sources through the private sector as well as an increasing foreign debt. There is mounting pressure on the fiscal balance in both countries. © 2022, The Author(s).
- Authors: Colombage, Sisira , Barua, Suborna , Nanayakkara, Madurika , Colombage, Udari
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Development Research Vol. 35, no. 1 (2023), p. 85-111
- Full Text:
- Reviewed:
- Description: The COVID-19 pandemic, an unprecedented global health crisis, rapidly transferred into a global economic and social crisis. The pandemic has threatened the world’s commitment to achieve Sustainable Development Goals (SDGs) by 2030 as governments in developing countries have shifted their priorities from attaining SDGs, to providing urgent financial needs to save lives and prevent recession in hopes for a rapid economic recovery. The rerouting of public funding priorities has undermined the progress and achievement of SDGs. We employed a mixed-method and carried out a comparative study using pre- and post-public financial data of two developing countries in South Asia; Bangladesh and Sri Lanka. A threefold analysis was conducted to investigate the evolution of the COVID-19 pandemic in two countries, the impact of the pandemic on external and internal public finance and the effect of the pandemic in shifting the policy priorities from SDGs to economic survival. This study found that both countries are highly vulnerable to the COVID-19 pandemic and are suffering from the lack of financing from external sources through the private sector as well as an increasing foreign debt. There is mounting pressure on the fiscal balance in both countries. © 2022, The Author(s).
Critical data detection for dynamically adjustable product quality in IIoT-enabled manufacturing
- Sen, Sachin, Karmakar, Gour, Pang, Shaoning
- Authors: Sen, Sachin , Karmakar, Gour , Pang, Shaoning
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 49464-49480
- Full Text:
- Reviewed:
- Description: The IIoT technologies, due to the widespread use of sensors, generate massive data that are key in providing innovative and efficient industrial management, operation, and product quality control processes. The significance of data has prompted relevant research communities and application developers how to harness the values of these data in secure manufacturing. Critical data analysis, identification of critical factors to improve the manufacturing process and critical data associated with product quality have been investigated in the current literature. However, the current works on product quality control are mainly based on static data analysis, where data may change, but there is no way to adjust them dynamically. Thus, they are not applicable for product quality control, at which point their adjustment is instantly required. However, many manufacturing systems exist, like beverages and food, where ingredients must be adjusted instantaneously to maintain product quality. To address this research gap, we introduce a method that identifies the critical data based on their ranking by exploiting three criticality assessment criteria that capture the instantaneous product quality change during manufacturing. These three criteria are - (1) correlation, (2) percentage quality change and (3) sensitivity for the assessment of data criticality. The product quality is estimated using polynomial regression (POLY), SVM, and DNN. The proposed method is validated using wine manufacturing data. Our proposed method accurately identifies critical data, where SVM produces the lowest average production quality prediction error (10.40%) compared with that of POLY (11%) and DNN (14.40%). © 2013 IEEE.
- Authors: Sen, Sachin , Karmakar, Gour , Pang, Shaoning
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 49464-49480
- Full Text:
- Reviewed:
- Description: The IIoT technologies, due to the widespread use of sensors, generate massive data that are key in providing innovative and efficient industrial management, operation, and product quality control processes. The significance of data has prompted relevant research communities and application developers how to harness the values of these data in secure manufacturing. Critical data analysis, identification of critical factors to improve the manufacturing process and critical data associated with product quality have been investigated in the current literature. However, the current works on product quality control are mainly based on static data analysis, where data may change, but there is no way to adjust them dynamically. Thus, they are not applicable for product quality control, at which point their adjustment is instantly required. However, many manufacturing systems exist, like beverages and food, where ingredients must be adjusted instantaneously to maintain product quality. To address this research gap, we introduce a method that identifies the critical data based on their ranking by exploiting three criticality assessment criteria that capture the instantaneous product quality change during manufacturing. These three criteria are - (1) correlation, (2) percentage quality change and (3) sensitivity for the assessment of data criticality. The product quality is estimated using polynomial regression (POLY), SVM, and DNN. The proposed method is validated using wine manufacturing data. Our proposed method accurately identifies critical data, where SVM produces the lowest average production quality prediction error (10.40%) compared with that of POLY (11%) and DNN (14.40%). © 2013 IEEE.
Cross disciplinary teaching : a pedagogical model to support teachers in the development and implementation of outdoor learning opportunities
- Neville, Ian, Petrass, Lauren, Ben, Francis
- Authors: Neville, Ian , Petrass, Lauren , Ben, Francis
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Outdoor and Environmental Education Vol. 26, no. 1 (2023), p. 1-21
- Full Text:
- Reviewed:
- Description: There is a growing body of empirical evidence documenting the positive effects associated with participation in environmental education and outdoor learning for students, teachers and the wider community. Despite this, there has been a substantial reduction in outdoor learning opportunities for school students, possibly due to the focus on evidenced-based outcomes, high-stakes standardised testing programs, and a lack of teacher knowledge, confidence and expertise in teaching and learning outdoors. Accordingly, this study presents an evidenced based model to support teaching practice. The model will assist teachers in the development and implementation of outdoor learning opportunities and offers applied examples that address curriculum outcomes. A comprehensive literature review methodology was implemented to identify peer-reviewed literature on teaching and learning outdoors and outdoor pedagogies. A thematic synthesis and constant comparative technique enabled development of themes, from which three themes emerged: the environment; the learner; and the educator, which inform the proposed model offered by the authors. The three interrelated components (the environment, the learner and the educator) require consideration for students to gain maximum benefit from outdoor learning experiences. The model, coupled with the applied examples, supports teachers to plan and facilitate immersive outdoor experiences that promote learning. © 2022, The Author(s).
- Authors: Neville, Ian , Petrass, Lauren , Ben, Francis
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Outdoor and Environmental Education Vol. 26, no. 1 (2023), p. 1-21
- Full Text:
- Reviewed:
- Description: There is a growing body of empirical evidence documenting the positive effects associated with participation in environmental education and outdoor learning for students, teachers and the wider community. Despite this, there has been a substantial reduction in outdoor learning opportunities for school students, possibly due to the focus on evidenced-based outcomes, high-stakes standardised testing programs, and a lack of teacher knowledge, confidence and expertise in teaching and learning outdoors. Accordingly, this study presents an evidenced based model to support teaching practice. The model will assist teachers in the development and implementation of outdoor learning opportunities and offers applied examples that address curriculum outcomes. A comprehensive literature review methodology was implemented to identify peer-reviewed literature on teaching and learning outdoors and outdoor pedagogies. A thematic synthesis and constant comparative technique enabled development of themes, from which three themes emerged: the environment; the learner; and the educator, which inform the proposed model offered by the authors. The three interrelated components (the environment, the learner and the educator) require consideration for students to gain maximum benefit from outdoor learning experiences. The model, coupled with the applied examples, supports teachers to plan and facilitate immersive outdoor experiences that promote learning. © 2022, The Author(s).
Cross-sectional study of soil-transmitted helminthiases in black belt region of Alabama, USA
- Poole, Claudette, Barker, Troy, Bradbury, Richard, Capone, Drew, Chatham, Amy, Handali, Sukwan, Rodriguez, Eduardo, Qvarnstrom, Yvonne, Brown, Joe
- Authors: Poole, Claudette , Barker, Troy , Bradbury, Richard , Capone, Drew , Chatham, Amy , Handali, Sukwan , Rodriguez, Eduardo , Qvarnstrom, Yvonne , Brown, Joe
- Date: 2023
- Type: Text , Journal article
- Relation: Emerging Infectious Diseases Vol. 29, no. 12 (2023), p. 2461-2470
- Full Text:
- Reviewed:
- Description: We conducted a cross-sectional study to determine the prevalence of soil-transmitted helminthiases (STH) in areas of rural Alabama, USA, that have sanitation deficits. We enrolled 777 children; 704 submitted stool specimens and 227 a dried blood spot sample. We microscopically examined stool specimens from all 704 children by using Mini-FLOTAC for helminth eggs. We tested a subset by using molecular techniques: real-time PCR analysis for 5 STH species, TaqMan Array Cards for enteric helminths, and digital PCR for Necator americanus hookworm. We analyzed dried blood spots for Strongyloides stercoralis and Toxocara spp. roundworms by using serologic testing. Despite 12% of our cohort reporting living in homes that directly discharge untreated domestic wastewater, stool testing for STH was negative; however, 5% of dried blood spots were positive for Toxocara spp. roundworms. Survey data suggests substantial numbers of children in this region may be exposed to raw sewage, which is itself a major public health concern. © 2023 Centers for Disease Control and Prevention (CDC). All rights reserved.
- Authors: Poole, Claudette , Barker, Troy , Bradbury, Richard , Capone, Drew , Chatham, Amy , Handali, Sukwan , Rodriguez, Eduardo , Qvarnstrom, Yvonne , Brown, Joe
- Date: 2023
- Type: Text , Journal article
- Relation: Emerging Infectious Diseases Vol. 29, no. 12 (2023), p. 2461-2470
- Full Text:
- Reviewed:
- Description: We conducted a cross-sectional study to determine the prevalence of soil-transmitted helminthiases (STH) in areas of rural Alabama, USA, that have sanitation deficits. We enrolled 777 children; 704 submitted stool specimens and 227 a dried blood spot sample. We microscopically examined stool specimens from all 704 children by using Mini-FLOTAC for helminth eggs. We tested a subset by using molecular techniques: real-time PCR analysis for 5 STH species, TaqMan Array Cards for enteric helminths, and digital PCR for Necator americanus hookworm. We analyzed dried blood spots for Strongyloides stercoralis and Toxocara spp. roundworms by using serologic testing. Despite 12% of our cohort reporting living in homes that directly discharge untreated domestic wastewater, stool testing for STH was negative; however, 5% of dried blood spots were positive for Toxocara spp. roundworms. Survey data suggests substantial numbers of children in this region may be exposed to raw sewage, which is itself a major public health concern. © 2023 Centers for Disease Control and Prevention (CDC). All rights reserved.
Cyan Moon crew preparation for the Sydney To Hobart Yacht Race March 2023
- Porter, Joanne, Simic, Megan, Talpey, Scott, Fenton, Sam, Casey, Meghan, McNeal, Dominic, Statham, Dixie, Prokopiv, Valerie, Miller, Libby
- Authors: Porter, Joanne , Simic, Megan , Talpey, Scott , Fenton, Sam , Casey, Meghan , McNeal, Dominic , Statham, Dixie , Prokopiv, Valerie , Miller, Libby
- Date: 2023
- Type: Text , Technical report , Report
- Full Text:
- Description: The Collaborative Evaluation & Research Centre (formally CERG) evaluated the crew’s experiences pre and post yacht events using a mixed methods approach. The Cyan yacht had a crew of 12 and competed in a number of events in the racing calendar leading up to the Sydney to Hobart race in January 2023. This was the first time that this boat and many of the crew competed in the Sydney to Hobart yacht race.
- Authors: Porter, Joanne , Simic, Megan , Talpey, Scott , Fenton, Sam , Casey, Meghan , McNeal, Dominic , Statham, Dixie , Prokopiv, Valerie , Miller, Libby
- Date: 2023
- Type: Text , Technical report , Report
- Full Text:
- Description: The Collaborative Evaluation & Research Centre (formally CERG) evaluated the crew’s experiences pre and post yacht events using a mixed methods approach. The Cyan yacht had a crew of 12 and competed in a number of events in the racing calendar leading up to the Sydney to Hobart race in January 2023. This was the first time that this boat and many of the crew competed in the Sydney to Hobart yacht race.
Decentralized content sharing in mobile ad-hoc networks : a survey
- Kaisar, Shahriar, Kamruzzaman, Joarder, Karmakar, Gour, Rashid, Md Mamunur
- Authors: Kaisar, Shahriar , Kamruzzaman, Joarder , Karmakar, Gour , Rashid, Md Mamunur
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Digital Communications and Networks Vol. 9, no. 6 (2023), p. 1363-1398
- Full Text:
- Reviewed:
- Description: The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic. To address this issue and take advantage of the short-range communication capabilities of smart mobile devices, the decentralized content sharing approach has emerged as a suitable and promising alternative. Decentralized content sharing uses a peer-to-peer network among co-located smart mobile device users to fulfil content requests. Several articles have been published to date to address its different aspects including group management, interest extraction, message forwarding, participation incentive, and content replication. This survey paper summarizes and critically analyzes recent advancements in decentralized content sharing and highlights potential research issues that need further consideration. © 2022 Chongqing University of Posts and Telecommunications
- Authors: Kaisar, Shahriar , Kamruzzaman, Joarder , Karmakar, Gour , Rashid, Md Mamunur
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Digital Communications and Networks Vol. 9, no. 6 (2023), p. 1363-1398
- Full Text:
- Reviewed:
- Description: The evolution of smart mobile devices has significantly impacted the way we generate and share contents and introduced a huge volume of Internet traffic. To address this issue and take advantage of the short-range communication capabilities of smart mobile devices, the decentralized content sharing approach has emerged as a suitable and promising alternative. Decentralized content sharing uses a peer-to-peer network among co-located smart mobile device users to fulfil content requests. Several articles have been published to date to address its different aspects including group management, interest extraction, message forwarding, participation incentive, and content replication. This survey paper summarizes and critically analyzes recent advancements in decentralized content sharing and highlights potential research issues that need further consideration. © 2022 Chongqing University of Posts and Telecommunications
Decoding employee ambidexterity : understanding drivers, constraints, and performance implications for thriving in the evolving work landscapes - a scoping review
- Joseph, Jane, Firmin, Sally, Oseni, Taiwo, Stranieri, Andrew
- Authors: Joseph, Jane , Firmin, Sally , Oseni, Taiwo , Stranieri, Andrew
- Date: 2023
- Type: Text , Journal article
- Relation: Heliyon Vol. 9, no. 12 (2023), p.
- Full Text:
- Reviewed:
- Description: Employee ambidexterity (EA) is becoming increasingly recognised as a significant factor in enhancing individual and organisational performance across diverse industries. Ambidexterity refers to the capacity to exploit and explore organisational resources simultaneously. Scholars from diverse industry sectors have been motivated to delve deeper into the topic of EA due to its growing popularity. The objective of conducting a scoping review was to scrutinise the existing literature and identify the key drivers and constraints that impact EA to thrive in the changing work landscape. The insights gained from this review can assist decision-makers in formulating effective strategies to cultivate the ambidexterity skills of their workforce and achieve desirable outcomes. This review adheres to the PRISMA-ScR protocol. Articles were obtained from databases including Scopus, Web of Science, and EBSCOhost (Academic Search Complete, Business Source Complete). The body of literature concerning EA is in its nascent stage. 23 articles assessing EA's performance outcomes were identified using targeted search terms and thorough screening. After conducting a thorough thematic analysis using the iterative categorisation (IC) technique, tailored for scoping a review, we successfully identified twenty-nine factors contributing to the enhancement of EA, meticulously organised into five distinct categories: organisational factors, social connectedness, employee behaviour, employee personality, and work environment related factors. Similarly, we discovered four factors that impede EA: functional tenure, team identification, bounded discretion, and conscientiousness. Our findings underscore the profound impact of employee ambidexterity on distinct types of performance. Among the sixteen types of performance reported to be enhanced by EA, ten are linked to individual performance, while six are tied to organisational performance. Notably, our analysis revealed that nearly all studies have relied on cross-sectional research methods except for one. However, we advocate for the exploration of longitudinal studies as they hold the promise of offering a more comprehensive understanding of EA. The paper presents valuable insights into how to cultivate ambidextrous capabilities in the workforce for unparalleled success in today's rapidly evolving work environment. Additionally, it identifies several intriguing avenues for future research that could further elucidate and bridge existing knowledge gaps. © 2023
- Authors: Joseph, Jane , Firmin, Sally , Oseni, Taiwo , Stranieri, Andrew
- Date: 2023
- Type: Text , Journal article
- Relation: Heliyon Vol. 9, no. 12 (2023), p.
- Full Text:
- Reviewed:
- Description: Employee ambidexterity (EA) is becoming increasingly recognised as a significant factor in enhancing individual and organisational performance across diverse industries. Ambidexterity refers to the capacity to exploit and explore organisational resources simultaneously. Scholars from diverse industry sectors have been motivated to delve deeper into the topic of EA due to its growing popularity. The objective of conducting a scoping review was to scrutinise the existing literature and identify the key drivers and constraints that impact EA to thrive in the changing work landscape. The insights gained from this review can assist decision-makers in formulating effective strategies to cultivate the ambidexterity skills of their workforce and achieve desirable outcomes. This review adheres to the PRISMA-ScR protocol. Articles were obtained from databases including Scopus, Web of Science, and EBSCOhost (Academic Search Complete, Business Source Complete). The body of literature concerning EA is in its nascent stage. 23 articles assessing EA's performance outcomes were identified using targeted search terms and thorough screening. After conducting a thorough thematic analysis using the iterative categorisation (IC) technique, tailored for scoping a review, we successfully identified twenty-nine factors contributing to the enhancement of EA, meticulously organised into five distinct categories: organisational factors, social connectedness, employee behaviour, employee personality, and work environment related factors. Similarly, we discovered four factors that impede EA: functional tenure, team identification, bounded discretion, and conscientiousness. Our findings underscore the profound impact of employee ambidexterity on distinct types of performance. Among the sixteen types of performance reported to be enhanced by EA, ten are linked to individual performance, while six are tied to organisational performance. Notably, our analysis revealed that nearly all studies have relied on cross-sectional research methods except for one. However, we advocate for the exploration of longitudinal studies as they hold the promise of offering a more comprehensive understanding of EA. The paper presents valuable insights into how to cultivate ambidextrous capabilities in the workforce for unparalleled success in today's rapidly evolving work environment. Additionally, it identifies several intriguing avenues for future research that could further elucidate and bridge existing knowledge gaps. © 2023